Teams at Metyis

Provide onsite IT support for end users: troubleshoot hardware/software, manage onboarding/offboarding, deploy devices with Intune/Autopilot, manage warranties, maintain IT documentation, collaborate with internal and external IT teams, and manage tickets to meet SLAs.

Build, monitor, and troubleshoot data pipelines and storage on Azure (Data Factory, Data Lake). Support data scientists, implement ELT and data governance, ensure data quality, and document workflows while collaborating with stakeholders.

Lead design and delivery of scalable cloud data platforms, pipelines, APIs and AI infrastructure. Build and deploy production ETL/ELT solutions, ensure data quality, CI/CD, monitoring and governance. Coordinate data engineering, data science and product teams, communicate with stakeholders, and coach team members to deliver production-ready analytics and AI solutions.